GMap: Visualizing Relations and Structures as Maps

Leftbank Newsistan

Rightbank Newsistan

Information visualization is essential in making sense out of large
data sets. Often, high-dimensional data are visualized as a collection
of points in 2-dimensional space through dimensionality reduction
techniques. However these traditional methods often do not capture well the underlying structural information,
clustering, and neighborhoods. GMap is an algorithm that turns these
information into geographic maps, which are intuitive to most
people. In the following you will find maps illustrating relations between
books, movies/TV shows, musics, and collaborative relations between authors.
Joint work with Emden Gansner, Stephen Kobourov and Chris Volinsky.